CDO Data Quality Management

Question 1

What is the primary purpose of a Data Quality Management (DQM) framework within an organization?

Accepted Answer

To ensure data is accurate, complete, consistent, and fit for use

Answer

To reduce IT infrastructure costs

Answer

To accelerate software development cycles

Answer

To enforce cybersecurity protocols

Question 2

Which of the following is NOT typically considered one of the core dimensions of data quality?

Accepted Answer

Scalability

Answer

Accuracy

Answer

Completeness

Answer

Timeliness

Question 3

A CDO discovers that 15% of customer records have duplicate entries. Which data quality dimension is most directly affected?

Accepted Answer

Uniqueness

Answer

Accuracy

Answer

Timeliness

Answer

Completeness

Question 4

What is a Data Quality Scorecard primarily used for?

Accepted Answer

Measuring and communicating data quality metrics against defined thresholds

Answer

Tracking employee performance in data entry roles

Answer

Monitoring network bandwidth used by data pipelines

Answer

Auditing vendor contracts for data services

Question 5

Which approach involves correcting data quality issues at the point of data entry rather than after the fact?

Accepted Answer

Prevention-based data quality control

Answer

Retroactive cleansing

Answer

ETL remediation

Answer

Post-processing validation

Question 6

A CDO wants to implement a 'single source of truth' for customer data across the enterprise. Which practice best supports this goal?

Accepted Answer

Master Data Management (MDM)

Answer

Data replication across multiple warehouses

Answer

Data lake consolidation without governance

Answer

Siloed departmental databases

Question 7

Which metric measures the percentage of data records that pass all defined quality rules?

Accepted Answer

Data Quality Pass Rate

Answer

Data Completeness Rate

Answer

Data Accuracy Score

Answer

Data Freshness Index